STEM Expert – Chemistry & Computational Chemistry (PhD)

Role Title: STEM Expert – Chemistry & Computational Chemistry (PhD) Role Type: Contractor Location: Remote (Worldwide) Job Summary: In this role, you’ll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. Key Responsibilities: - Design, evaluate, and critique chemistry and computational chemistry problems, workflows, and reasoning chains to support AI benchmarking initiatives. - Provide expert-level insights on reaction mechanisms, synthesis planning, spectroscopy analysis, molecular simulations, and electronic structure methods. - Assess and optimize experimental protocols, simulation parameters, and software configurations for accuracy and reproducibility. - Analyze chemical, spectroscopic, and simulation data and provide actionable recommendations. - Leverage domain knowledge to guide the development and validation of chemistry-related AI models and tools. - Communicate complex scientific concepts clearly, both in writing and verbally, to technical and non-technical collaborators. - Document findings, methodologies, and best practices to ensure knowledge transfer across the customer’s team. Areas of Expertise (we welcome applicants from any of the following): - Organic synthesis & reaction mechanisms - Inorganic & organometallic chemistry - Physical & theoretical chemistry - Analytical chemistry & spectroscopy - Computational chemistry & molecular dynamics - Cheminformatics & drug discovery - Materials science & polymer chemistry Required Skills and Qualifications: - PhD in chemistry, computational chemistry, chemical biology, materials science, or a closely related field. - Hands-on research lab experience, including wet lab experience for experimental subfields, or extensive simulation-heavy research for computational subfields. - Deep expertise in at least one of the areas listed above. - Professional written and spoken English (C1 or higher). - Proficiency in Python and/or industry-standard tools in your subfield (e.g., Gaussian, ORCA, Psi4, GROMACS, LAMMPS, RDKit). - Excellent quantitative, analytical, and scientific reasoning skills. - Outstanding written and verbal communication abilities, with the ability to clearly document and explain technical concepts. - Track record of rigorous scientific problem-solving in complex chemistry domains. Preferred Qualifications: - Academic experience (postdoc, research scientist, faculty, or equivalent), strongly preferred. - Peer-reviewed publications, patents, or contributions to open-source scientific software. - Experience with AI/ML-assisted chemistry workflows or benchmarking. - Background in drug discovery, reaction prediction, or retrosynthesis. Originally posted on Himalayas